Applied Scientist, Amazon Music - Catalog Quality
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Amazon Music is seeking an Applied Scientist to enhance catalog quality using ML, DL, LLMs, and Agentic AI. You will design and develop end-to-end systems, collaborate with cross-functional teams, and analyze large datasets to improve music metadata and content quality globally.
Responsibilities
- Design and develop end-to-end ML systems for music catalog quality.
- Create technical roadmaps and drive production-level projects.
- Collaborate with scientists, engineers, and product managers to define ML/optimization tasks.
- Utilize machine learning, deep learning, LLMs, and Agentic AI for scalable solutions.
- Analyze and extract information from large datasets to automate and optimize processes.
- Design, develop, and evaluate AI models for predictive learning.
- Research and implement novel machine learning and statistical approaches.
- Implement scalable data pipelines and model-serving systems.
- Analyze experimental results, draw insights, and refine models for accuracy and robustness.
- Communicate findings and recommendations to technical and non-technical audiences.
Requirements
- 3+ years of building models for business application experience.
- PhD or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python or related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
Desired Qualifications
- Experience using Unix/Linux.
- PhD in computer science, machine learning, engineering, or related fields.
Benefits
- Inclusive culture that empowers Amazonians.
- Opportunity to influence how Amazon Music engages fans, artists, and creators globally.
#Amazon Music#Applied Science#Catalog Quality
Company
Amazon
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Master, Doctoral
Applicants
Be an early applicant